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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 18368
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    Explanations

    phrases related to unpopular topics or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to unpopularity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ural
    -0.76
    hner
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    chn
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    tein
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    Vision
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    sic
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    ilt
    -0.66
    phasis
    -0.66
    dress
    -0.66
    AUT
    -0.65
    POSITIVE LOGITS
     unpopular
    1.48
    ity
    0.97
     incumbent
    0.89
     disadvant
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     burdens
    0.85
     advoc
    0.82
    popular
    0.80
    odox
    0.79
     Mehran
    0.79
    Activations Density 0.005%

    No Known Activations